Explore Workflows
View already parsed workflows here or click here to add your own
Graph | Name | Retrieved From | View |
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EMG assembly for paired end Illumina
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https://github.com/EBI-Metagenomics/ebi-metagenomics-cwl.git
Path: workflows/emg-assembly.cwl Branch/Commit ID: ca6ca613 |
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scatter-valuefrom-inputs-wf1.cwl
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https://github.com/common-workflow-language/common-workflow-language.git
Path: v1.0/v1.0/scatter-valuefrom-inputs-wf1.cwl Branch/Commit ID: master |
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preprocess_vcf.cwl
This workflow will perform preprocessing steps on VCFs for the OxoG/Variantbam/Annotation workflow. |
https://github.com/ICGC-TCGA-PanCancer/pcawg-snv-indel-annotation.git
Path: preprocess_vcf.cwl Branch/Commit ID: master |
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Kallisto index pipeline
This workflow indexes the input reference FASTA with kallisto, and generates a kallisto index file (.kdx). This index sample can then be used as input into the kallisto transcript-level quantification workflow (kallisto-quant-pe.cwl), or others that may include this workflow as an upstream source. ### __Inputs__ - FASTA file of the reference genome that will be indexed - number of threads to use for multithreading processes ### __Outputs__ - kallisto index file (.kdx). - stdout log file (output in Overview tab as well) - stderr log file ### __Data Analysis Steps__ 1. cwl calls dockercontainer robertplayer/scidap-kallisto to index reference FASTA with `kallisto index`, generating a kallisto index file. ### __References__ - Bray, N. L., Pimentel, H., Melsted, P. & Pachter, L. Near-optimal probabilistic RNA-seq quantification, Nature Biotechnology 34, 525-527(2016), doi:10.1038/nbt.3519 |
https://github.com/datirium/workflows.git
Path: workflows/kallisto-index.cwl Branch/Commit ID: master |
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count-lines9-wf.cwl
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https://github.com/common-workflow-language/cwl-v1.1.git
Path: tests/count-lines9-wf.cwl Branch/Commit ID: main |
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Exome QC workflow
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https://github.com/apaul7/cancer-genomics-workflow.git
Path: definitions/subworkflows/qc_exome.cwl Branch/Commit ID: low-vaf |
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BD Rhapsody™ WTA Analysis Pipeline
The BD Rhapsody™ WTA Analysis Pipeline is used to create sequencing libraries from single cell transcriptomes without having to specify a targeted panel. After sequencing, the analysis pipeline takes the FASTQ files, a reference genome file and a transcriptome annotation file for gene alignment. The pipeline generates molecular counts per cell, read counts per cell, metrics, and an alignment file. |
https://github.com/longbow0/cwl.git
Path: v1.8/rhapsody_wta_1.8.cwl Branch/Commit ID: master Packed ID: main |
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bam-bedgraph-bigwig.cwl
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https://github.com/Barski-lab/ga4gh_challenge.git
Path: subworkflows/bam-bedgraph-bigwig.cwl Branch/Commit ID: master |
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03-map-pe.cwl
STARR-seq 03 mapping - reads: PE |
https://github.com/Duke-GCB/GGR-cwl.git
Path: v1.0/STARR-seq_pipeline/03-map-pe.cwl Branch/Commit ID: master |
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workflow.cwl
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https://github.com/lonbar/workflow.git
Path: workflow.cwl Branch/Commit ID: main |